Addressing Pitfalls in Management of Diabetic Ketoacidosis with a Standardized Protocol

Objective: To determine the efficacy and safety of a diabetic ketoacidosis (DKA)-Power Plan (PP) for guiding intravenous (IV) insulin infusions prior to anion gap (AG) closure and administering subcutaneous (SC) insulin ≥1 hour before discontinuing IV insulin.Methods: Retrospective chart review of patients with DKA before (pre-PP) (n = 60) and following (post-PP) (n = 60) implementation of a DKA-PP. Groups were compared for percentage of patients for whom IV insulin therapy was continued until AG closure, the percentage of patients receiving SC insulin ≥1 hour before discontinuation of IV insulin, and percentage of patients with rebound DKA during the index hospitalization.Results: Admission plasma glucose (514 mg/dL vs. 500 mg/dL; P = .36) and venous pH (7.2 vs. 7.2; P = .57) were similar in pre- and post-PP groups. Inappropriate discontinuation of IV insulin occurred less frequently in post-PP patients (28% vs. 7%; P = .007), with a lower frequency of rebound DKA (40% vs. 8%; P = .001) following acute management. More post-PP patients received SC insulin ≥1 hour before discontinuation of IV insulin (65% vs. 78%; P = .05).Conclusion: Implementation of a DKA-PP was associated with appropriate discontinuation of IV insulin in more patients, more frequent administration of SC insulin ≥1 hour prior to discontinuation of IV insulin, and fewer episodes of rebound DKA.Abbreviations: ADA = American Diabetes Association; AG = anion gap; BG = blood glucose; DKA = diabetic ketoacidosis; DKA-PP = DKA-Power Plan; ICU = intensive care unit; IQR = interquartile range; IV = intravenous; IVF = IV fluid; LOS = length of stay; SC = subcutaneous     

Pediatric Diabetic Ketoacidosis with Hyperosmolarity: Clinical Characteristics and Outcomes

Objective: Studies of hyperglycemic emergencies with hyperosmolality, including hyperglycemic hyperosmolar state (HHS) and “mixed presentation” with features of diabetic ketoacidosis (DKA) and HHS, are lacking in children. Objectives were to determine the incidence of DKA, HHS, and mixed presentation in a pediatric population, to characterize complications, and to assess accuracy of associated diagnosis codes.Methods: Retrospective cohort study of 411 hyperglycemic emergencies in pediatric patients hospitalized between 2009 and 2014. Hyperglycemic emergency type was determined by biochemical criteria and compared to the associated diagnosis code.Results: Hyperglycemic emergencies included: 333 DKA, 54 mixed presentation, and 3 HHS. Altered mental status occurred more frequently in hyperosmolar events (P<.0001), and patients with hyperosmolarity had 3.7-fold greater odds of developing complications compared to those with DKA (P =.0187). Of those with DKA, 98.5% were coded correctly. The majority (81.5%) of mixed DKA-HHS events were coded incorrectly. Events coded incorrectly had 3.1-fold greater odds of a complication (P =.02).Conclusion: A mixed DKA-HHS presentation occurred in 13.8% of characterized hyperglycemic emergencies, whereas HHS remained a rare diagnosis (0.8%) in pediatrics. Hyperosmolar events had higher rates of complications. As treatment of hyperosmolarity differs from DKA, its recognition is essential for appropriate management.Abbreviations: AMS = altered mental status; DKA = diabetic ketoacidosis; EMR = electronic medical record; HHS = hyperglycemic hyperosmolar state; ICD-9 = International Classification of Diseases, Ninth Revision; ISPAD = International Society of Pediatric and Adolescent Diabetes; NODM = new-onset diabetes mellitus; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

Safety and Efficacy of Glucostabilizer in the Management of Diabetic Ketoacidosis

Objective: To evaluate the safety and efficacy of GlucoStabilizer software intravenous insulin (IV) dosing in comparison to American Diabetes Association protocol-directed provider-guided insulin dose adjustment (PGIA).Methods: GlucoStabilizer calculates the dose of IV insulin required to reach a prescribed target glucose range. GlucoStabilizer has not been fully studied in DKA. This retrospective study compared outcomes in patients with DKA before and after the implementation of GlucoStabilizer. Insulin doses were administered based on GlucoStabilizer calculations or PGIA. The analysis evaluated before-after changes in the amount of insulin used, time to target, hypoglycemia or hypokalemia events, and the time to DKA resolution.Results: We studied 77 patients with insulin doses calculated by GlucoStabilizer and 69 patients with PGIA dosing. GlucoStabilizer was superior to PGIA. Patients treated with GlucoStabilizer-calculated doses did not experience hypoglycemia (N = 0 versus N = 10; P<.001). The 10 unique PGIA patients had a total of 18 episodes with 17 between 55 to 69 mg/dL; 1 <54 mg/dL, and no episodes <40 mg/dL. The GlucoStabilizer group required less insulin to reach DKA resolution (59.2 versus 101.2 units; P<.001). Time to glycemic target and DKA resolution were similar (6.7 versus 4.6 hours; P = .132) and (9.8 versus 9.9 hours; P = .803), respectively. No difference in the incidence of hypokalemia was seen (N = 9 versus N = 11; P = .48).Conclusion: This study demonstrates the Gluco Stabilizer settings that can be successfully used in the management of DKA with the avoidance of hypoglycemia. Patients treated with GlucoStabilizer-calculated doses experienced no hypoglycemia and required less insulin as compared to those managed with PGIA.Abbreviations: ADA = American Diabetes Association; DKA = diabetic ketoacidosis; ED = emergency department; eGMS = electronic glycemic management systems; ICU = intensive care unit; IV = intravenous; PGIA = protocol-directed provider-guided insulin dose adjustment     

Family History of Diabetes is Associated with Increased Risk of Recurrent Diabetic Ketoacidosis in Pediatric Patients

Objective: To determine the relationship between family history of diabetes mellitus (DM) and diabetic ketoacidosis (DKA) recurrence in youth with established type 1 diabetes mellitus (T1DM).Methods: We performed a retrospective chart review of patients with DKA admitted to a pediatric hospital between January, 2009, and December, 2014. We compared patients with recurrent (≥2 admissions) and nonrecurrent DKA (1 admission) and investigated patient level factors, including family history, that may be associated with DKA recurrence in pediatric patients with established T1DM.Results: Of the 131 subjects in the study, 51 (39%) subjects were in the recurrence group. Age ≥15 years old, public health insurance, and family history of T1DM or type 2 diabetes mellitus were associated with recurrent DKA admissions in both univariable and multivariable analyses. Family history was associated with DKA recurrence, with an incidence rate ratio of 1.5 (95% confidence interval = 1.0 to 2.3; P = .03). The association was not explained by type of familial diabetes, first degree relative status, or whether the family member lived in the household.Conclusion: Recognition that a positive family history of DM may be associated with a higher risk for DKA recurrence in patients with established T1DM may allow for targeted education and focus on a previously unidentified population at increased risk for DKA. Understanding the mechanism underlying the effect of family history of diabetes on the rates of DKA in patients with established T1DM may allow for improved identification and education of patients who may be at risk for DKA recurrence.Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EHR = electronic health record; IBD = inflammatory bowel disease; IRR = incidence rate ratio; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

Causes and Predictors for 30-DAY Re-Admissions in Adult Patients with Diabetic Ketoacidosis in the United States: a Nationwide Analysis, 2010–2014

Objective: We aimed to determine the causes and predictors for 30-day re-admission following a hospitalization for diabetic ketoacidosis (DKA) in the United States.Methods: This retrospective cohort study analyzed data from the National Re-admission Database. We included adult patients with a primary discharge diagnosis of DKA, from 2010 to 2014. Our primary objective was to determine the frequency and causes for 30-day re-admission after an index hospitalization for DKA. We also performed multivariate regression analyses using covariates from the index admission to identify predictors for 30-day re-admissions.Results: Among 479,590 admissions for DKA, 58,961 (12.3%) were re-admitted within 30 days. Recurrent DKA represented 40.8% of all-cause re-admissions. In multivariate analysis, end-stage renal disease (odds ratio &lsqb;OR], 2.13; 95% confidence interval &lsqb;CI], 2.00 to 2.27; P<.001), Charlson Comorbidity Index ≥3 (OR, 2.49; 95% CI, 2.42 to 2.58; P<.001), discharge against medical advice (OR, 1.97; 95% CI, 1.86 to 2.09; P<.001), and drug use (OR, 1.78; 95% CI, 1.71 to 1.86; P<.001) were the most significant predictors for 30-day re-admission. About 50% of patients were re-admitted within 2 weeks after discharge.Conclusion: In the U.S., about one in every eight patients with DKA is re-admitted within 30 days, with 40.8% representing recurrent DKA episodes. Patients with end-stage renal disease, high comorbidity burden, drug use, and/or leaving against medical advice represented the highest risk group for re-admissions. Future studies with interventions focusing on high-risk population are critically needed.Abbreviations: AKI = acute kidney injury; BMI = body mass index; CCI = Charlson Comorbidity Index; CI = confidence interval; DKA = diabetic ketoacidosis; DM1 = type 1 diabetes mellitus; DM2 = type 2 diabetes mellitus; ESRD = end-stage renal disease; ICD-9-CM = International Classification of Diseases, Ninth Edition, Clinical Modification; IQR = interquartile range; LOS = length of stay; NRD = National Re-admission Database; OR = odds ratio     

Safety And Efficacy of An Algorithm-Based Protocol In the Management of Diabetic Ketoacidosis

ObjectiveTo determine the efficacy of an algorithmbased protocol to manage diabetic ketoacidosis (DKA).MethodsOur study is a retrospective chart review of patients with DKA managed before and after implementation of an algorithm-based DKA protocol at a tertiary care hospital.ResultsThere were 88 patients managed 1 year prior (control group) and 70 patients managed one year after (study group) implementation of the algorithm-based DKA protocol. The DKA resolution time was significantly shorter (11.5 [8.1 to 17.1] hours versus 8.5 [5.8 to 12] hours; P = 0.008) and the hypoglycemic events were significantly less (P = 0.042) in the study group in comparison with the control group. There was no difference in the potassium abnormalities and rate of decline of glucose. A survey on a scale of 1 to 10 found the majority of physicians and nurses rated the protocol as safe (83%) and effective (96%). Fifty four percent of the nurses, however, found the protocol difficult to follow.ConclusionOur study showed that implementation of an algorithm-based protocol reduced the DKA resolution time and hypoglycemic events without compromising electrolyte imbalance, and was associated with improved clinical measures of DKA management. (Endocr Pract. 2012;18:842-846)     

Treatment of Diabetic Ketoacidosis and the Weekend Effect at an Urban Tertiary-Care Center

Objective: Weekend admission has been associated with higher morbidity and mortality, but the relationship between diabetic ketoacidosis (DKA) outcomes and this weekend effect is unclear. To better characterize it, we examined the outcomes of patients admitted with DKA to an urban tertiary-care center.Methods: This retrospective study included pediatric and adult patients admitted to Montefiore Health System from January 1, 2008, through December 31, 2018, with a primary or secondary diagnosis of DKA as identified by International Classification of Diseases (ICD)-9 and -10 codes; all ICD diagnoses were present on admission. Only the first admission for each patient was analyzed, and patients were excluded if their initial anion gap was less than 13 mEq/L. A subcohort comprised of patients with documented biochemical evidence of DKA resolution was also analyzed. The Friday-Saturday weekend was defined as the period between midnight on Friday and midnight on Sunday; the Saturday-Sunday weekend was similarly defined. The following outcomes were compared between weekday and weekend groups: length of stay; time to initiation of subcutaneous insulin; and time to each of the following: venous pH >7.3, blood glucose <200 mg/dL, and anion gap ≤12 mEq/L. Odds of 30-day all-cause mortality and 30-day all-cause and DKA-specific readmission were also examined.Results: Over 11 years, 4,703 patients were included in the overall cohort, and 648 were included in the subcohort. For both weekend definitions, weekend admission did not produce differences in any outcome for either study cohort.Conclusion: No weekend effect on DKA outcomes was detected at an urban tertiary-care center.Abbreviations: AG = anion gap; CCI = Charlson Comorbidity Index; DKA = diabetic ketoacidosis; ICD = International Classification of Diseases; IVI = intravenous insulin; LOS = length of stay; SCI = subcutaneous insulin     

The Guided Transfer of Care Improves Adult Clinic Show Rate

Objective: Every year, 500,000 youths in the U.S. with chronic disease turn 18 years of age and eventually require transfer to adult subspecialty care. Evidence-based interventions on the organization of transfer of care are limited, although engagement and retention in adult clinic are considered appropriate outcomes. Sustained continuity of care improves patient satisfaction and reduces hospitalization.Methods: We conducted a prospective, nonrandomized cohort study of patients with pediatric endocrine conditions, age 16 to 26 years, enrolled upon referral to the adult endocrine clinic of a physician trained in both adult and pediatric endocrinology (Med+Peds endocrinologist). Patients differed based on whether their referral originated from another pediatric endocrinologist (traditional transfer) or if the Med+Peds endocrinologist previously saw the patient in his pediatric endocrine clinic (guided transfer). Rather than relying on arbitrary age criteria, guided transfer to adult clinic occurred when physician and patient considered it appropriate. The primary outcome was show rate at the first and second adult visits.Results: Of 36 patients, 21 were referred by another pediatric endocrinologist and 15 underwent guided transfer. For traditional transfer, show rate to the first and second visit was 38%, compared to 100% in the guided transfer group (P = .0001). Subgroup analysis of 27 patients with diabetes revealed that both groups had similar initial hemoglobin A1c (P = .38), and the guided transfer group maintained hemoglobin A1c.Conclusion: Most traditional transfers were unsuccessful. Guided transfer was significantly more effective, with every patient successfully transferring, and could be implemented with adult endocrinologists willing to see patients in the pediatric clinic.Abbreviations: DKA = diabetic ketoacidosis; HbA1c = hemoglobin A1c; Med+Peds = Internal Medicine and Pediatrics     

Impact of a Hyperglycemic Crises Protocol

ObjectiveThe purpose of this study was to evaluate the efficacy and safety of an adult hyperglycemic crises protocol based upon the 2009 American Diabetes Association (ADA) consensus statement.MethodsWe performed a retrospective review of patients treated before and after protocol implementation at a university teaching hospital. A total of 256 adult patients met the criteria for diabetic ketoacidosis (DKA) or hyperosmolar hyperglycemic state (HHS) and were treated with an insulin infusion between February 2011 and February 2012 (nonprotocol n = 143, protocol n = 113). Protocol efficacy was evaluated by assessing time to resolution of DKA or HHS, length of stay (LOS) in the intensive care unit (ICU), and LOS in the hospital. Protocol safety was evaluated by assessing the numbers of patients with hypoglycemic and hypokalemic events.ResultsPatients on the hyperglycemic crises protocol experienced a 9.2 hour (95% confidence interval (CI): 4.70-13.70; P<.001) decrease in time to resolution, with nonprotocol patients (n = 143) resolving in 22.78 hours and protocol patients (n = 113) resolving in 13.58 hours. There was no difference in safety outcomes, including the number of patients with moderate hypoglycemia (blood glucose <70 mg/dL), severe hypoglycemia (blood glucose <50 mg/dL), or hypokalemia (K⁺ <3.3 mmol/L).ConclusionImplementation of a hyperglycemic crises protocol decreased times to resolution of DKA and HHS without increasing the rate of hypoglycemia or hypokalemia. (Endocr Pract. 2013;19:953-962)     

Predictors for Adverse Outcomes in Diabetic Ketoacidosis in a Multihospital Health System

Objective: To determine predictors of prolonged length of stay (LOS), 30-day readmission, and 30-day mortality in a multihospital health system.Methods: We performed a retrospective review of 531 adults admitted with diabetic ketoacidosis (DKA) to a multihospital health system between November 2015 and December 2016. Demographic and clinical data were collected. Linear regression was used to calculate odds ratios (ORs) for predictors and their association with prolonged LOS (3.2 days), 30-day readmission, and 30-day mortality.Results: Significant predictors for prolonged LOS included: intensive care unit (ICU) admission (OR, 2.12; 95% confidence interval [CI], 1.38 to 3.27), disease duration (nonlinear) (OR, 1.28; 95% CI, 1.10 to 1.49), non-white race (OR, 1.73; 95% CI, 1.15 to 2.60), age at admission (OR, 1.03; 95% CI, 1.01 to 1.04), and Elixhauser index (EI) (OR, 1.21; 95% CI, 1.13 to 1.29). Shorter time to consult after admission (median [Q1, Q3] of 11.3 [3.9, 20.7] vs. 14.8 [7.4, 37.3] hours, P<.001) was associated with a shorter LOS. Significant 30-day readmission predictors included: Medicare insurance (OR, 2.35; 95% CI, 1.13 to 4.86) and EI (OR, 1.31; 95% CI, 1.21 to 1.41). Endocrine consultation was associated with reduced 30-day readmission (OR, 0.51; 95% CI, 0.28 to 0.92). A predictive model for mortality was not generated because of low event rates.Conclusion: EI, non-white race, disease duration, age, Medicare, and ICU admission were associated with adverse outcomes. Endocrinology consultation was associated with lower 30-day readmission, and earlier consultation resulted in a shorter LOS.Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EI = Elixhauser index; HbA1c = hemoglobin A1c; ICD = International Classification of Diseases; ICU = intensive care unit; LOS = length of stay; OR = odds ratio; Q = quartile     

Implementation of an Electronic Dashboard with A Remote Management System to Improve Glycemic Management Among Hospitalized Adults

Objective: Better glycemic control for hospitalized diabetic patients significantly reduces health expenditures and improves disease outcomes. We developed a dynamic dashboard with a remote management system and evaluated its impact on inpatient glycemic control.Methods: This was an observational institution-wide study; study participants were enrolled from a 1,500-bed public medical center from 2016 to 2018. We evaluated the impact of a dynamic dashboard system, which analyzed and monitored all glucose data with virtual glycemic management recommendation by a team of endocrinologists, over 3 × 1-year periods: 2016 (pre-implementation), 2017 (development), and 2018 (implementation).Results: A total of 51,641 discharges with 878,159 blood glucose measurements were obtained during the 3-year period. After implementation of the dashboard system, the proportion of patients with poor glycemic control (hyperglycemia or hypoglycemia) was reduced by 31% (from 10.2 to 7.0 per day per 100 patients with glucose monitoring; P<.001); hyperglycemia decreased by 25% (from 6.1 to 4.6 per day per 100 patients with glucose monitoring; P<.001), and hypoglycemia decreased by 45% (from 4.2 to 2.3 per day per 100 patients with glucose monitoring; P<.001). Furthermore, the trend in the proportion of patients within the treat-to-target range showed significant improvement (P<.001) during the development period, with effectiveness maintained throughout the implementation period.Conclusion: We successfully installed a dynamic, electronic medical records-based dashboard monitoring system to improve inpatient glycemic control. The system, supported by a team of endocrinologists via remote recommendations, could efficiently fill an important need for improved glycemic management among hospitalized adults.Abbreviations: CDE = certified diabetes educator; DM = diabetes mellitus; EMR = electronic medical record; POC = point-of-care; TCVGH = Taichung Veterans General Hospital; UCSF = University of California, San Francisco; U.S. = United States; vGMS = virtual glucose management service     

Impact of Multidisciplinary Process Improvement Interventions on Glucometrics in a Noncritically Ill Setting

Objective: This study aimed to assess the impact of multidisciplinary process improvement interventions on glycemic control in the inpatient setting of an urban community hospital, utilizing the daily simple average as the primary glucometric measure.Methods: From 2010–2014, five process of care interventions were implemented in the noncritical care inpatient units of the study hospital. Interventions included education of medical staff, implementation of hyperglycemia and hypoglycemia protocols, computerized insulin order entry, and coordination of meal tray delivery with finger stick and insulin administration. Unpaired t tests compared pre- and postintervention process measures. Simple average daily glucose measure was the primary glucometric outcome. Secondary outcome measures included frequency of hyperglycemia and hypoglycemia. Glucose outcomes were compared with an in-network hospital that did not implement the respective interventions.Results: A total of 180,431 glucose measurements were reported from 4,705 and 4,238 patients from the intervention and comparison hospitals, respectively. The time between bolus-insulin administration and breakfast tray delivery was significantly reduced by 81.7 minutes (P<.00005). The use of sliding scale insulin was sustainably reduced. Average daily glucose was reduced at both hospitals, and overall rates of hypoglycemia were low.Conclusion: A multidisciplinary approach at an urban community hospital with limited resources was effective in improving and sustaining processes of care for improved glycemic control in the noncritical care, inpatient setting.Abbreviations: IQR = interquartile range; JMC = Jacobi Medical Center; NCBH = North Central Bronx Hospital     

Clinical Characteristics and Sequelae of Severe Hypertriglyceridemia in Pediatrics

Objective: Severe hypertriglyceridemia (HTG) (i.e., plasma triglycerides [TGs] >1,000 mg/dL) in children is a rare but pernicious and understudied condition. Our objective was to evaluate the etiology, characteristics, and sequelae of severe pediatric HTG.Methods: This was a retrospective electronic medical record review of pediatric patients with severe HTG at a tertiary referral Children's hospital over a 17-year period.Results: There were a total of 124 patients with severe HTG. The etiology varied: hemato-oncologic (n = 48), diabetes and insulin resistance–related (n = 46), total parenteral nutrition (TPN)-related (n = 6), renal (n = 12), and miscellaneous (n = 12). There was considerable variability in the number of days for the plasma TGs to decrease to <1,000 mg/dL (147.7 ± 567.3 days) and to further decrease to <500 mg/dL (136.84 ± 230.9 days). Patients with diabetes required the longest time to improve their plasma TGs (165.8 ± 305.7 days) compared to other groups. There were 11 cases of pancreatitis, comorbid with diabetes (n = 5), hemato-oncologic conditions (n = 3), and TPN (n = 3). Sixty-seven patients (54%) had persistent HTG.Conclusion: Severe HTG in pediatrics is commonly due to secondary causes. Patients with diabetes tend to have a longer course of dyslipidemia. A substantial number of patients had persistent dyslipidemia, indicating underlying genetic susceptibility to HTG that is phenotypically expressed consequent to a secondary metabolic insult.Abbreviations: DKA = diabetic ketoacidosis; EMR = electronic medical record; GSD = glycogen storage disorder; HbA1c = hemoglobin A1c; HIV = human immunodeficiency virus; HTG = hypertriglyceridemia; ICD-9 = International Classification of Diseases–Ninth Revision; IV = intravenous; LCHAD = long-chain 3-hydroxyacyl coenzyme A dehydrogenase deficiency; LPL = lipoprotein lipase; NPO = nothing by mouth; PCOS = polycystic ovary syndrome; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus; TG = triglyceride; TPN = total parenteral nutrition; VLDL = very-low-density lipoprotein     

Active use of Cocaine: An Independent Risk Factor for Recurrent Diabetic Ketoacidosis in a City Hospital

ObjectiveTo identify the risk factors for recurrent diabetic ketoacidosis (DKA) in a city hospital.MethodsWe performed a retrospective analysis of sequential adult admissions for DKA at Bronx Lebanon Hospital Center in New York between July 1, 2001, and June 30, 2004. The patients were divided into cohorts, which were compared with use of analysis of variance and χ² tests. Multivariate logistic regression analysis was performed where indicated.ResultsIn 168 patients (96 men and 72 women), 219 episodes of DKA occurred. The mean age (± SD) of the overall study group was 38.6 ± 14.8 years. Fifty-four patients (32%) had type 2 diabetes, and 44 patients (26%) had new-onset diabetes. The recurrence rate of DKA was 169% in cocaine users and 39% in nonusers (P < 0.0001). Active use of cocaine, noncompliance, and Hispanic ethnicity emerged as independent risk factors for recurrent DKA—odds ratio (OR) = 4.38, P = 0.001; OR = 1.96, P = 0.05; and OR = 0.40, P = 0.005, respectively. The commonest precipitants of DKA were noncompliance (44%) and infection (26%). Noncompliance was associated with use of cocaine, use of cannabis, and cigarette smoking (P = 0.008, 0.04, and 0.01, respectively). In 91 of the hospital admissions for DKA (42%), the patients were active smokers.ConclusionActive use of cocaine is an independent risk factor for recurrent DKA, as are noncompliance and Hispanic ethnicity. Of these 3 factors, cocaine showed the strongest association with DKA. Therefore, toxicology screening in patients with recurrent DKA may be prudent and worthwhile. (Endocr Pract. 2007;13:22-29)     

Recurrent Diabetic Ketoacidosis in Two Community Teaching Hospitals

ObjectiveTo identify the factors that influence recurrent (one or more previous episodes) diabetic ketoacidosis (DKA), which we refer to as recurrent DKA, in two private community teaching hospitals.MethodsRetrospective chart review of the demographics, diabetes treatment regimens, diabetes education, medical comorbidities, medical insurance status, and mental illness/psychosocial factors of 80 patients with recurrent DKA who were admitted to the resident teaching services at two Birmingham, Alabama community teaching hospitals, Trinity Medical Center (TMC) and Princeton Baptist Medical Center (PBMC), between May 2006 and May 2012.ResultsThe average number of admissions for recurrent DKA was 2.5 per patient. Eighty-four percent of the episodes of recurrent DKA were due to omission of insulin; 44% of patients reported omission of insulin because of illness and 40% stopped insulin for unknown reasons. Medical illnesses, including infection, accounted for only 31% of recurrent DKA admissions.ConclusionOmission of insulin is the major cause of recurrent DKA. Psychosocial and socioeconomic factors contribute to poor adherence to therapy. Identifying these factors and instituting appropriate interventions may reduce the incidence of recurrent DKA. (Endocr Pract. 2013;19:829-833)     

Guidelines to Improve Perioperative Management of Diabetes Mellitus: Assessment of the Impact of Change Across Time

Objective: Assess the impact of guidelines on the care of patients with diabetes undergoing elective surgery.Methods: A multidisciplinary team developed perioperative guidelines. Overall changes in key measures were evaluated after guidelines were introduced and compared with a historical cohort.Results: The historical cohort included 254 surgical procedures, and the post–guidelines implementation cohort comprised 1,387. Glucose monitoring was performed preoperatively in 93% of cases in the post–guidelines implementation cohort and in 88% in the historical cohort (P<.01), but the percentage of cases with measurements decreased over 12 months (from 95% to 91%, P = .044). Glucose was intraoperatively monitored in 67% of cases after guidelines were introduced and in 29% historically (P<.01); the post–guidelines implementation percentage decreased over 12 months from 67% to 55% (P<.01). The performance of glucose monitoring in the postanesthesia care unit (PACU) did not differ (86% vs. 87%, P = .57), but it decreased over 12 months, from 91% to 84% (P<.01). After introduction of the guidelines, insulin use increased in the preoperative, intraoperative, and PACU areas (all P≤.01) but decreased by the end of 12 months (all P<.01). Mean preoperative and PACU glucose levels in the post– guidelines implementation cohort were significantly lower than in the historical cohort (P<.01).Conclusion: Multidisciplinary management guidelines for diabetes patients undergoing surgery can improve the performance of key measures of care. Although adherence to recommendations generally remained higher after guideline implementation than in the historical period, the improvement in several measures began to decline over time.Abbreviations: DM = diabetes mellitus HbA_1c = hemoglobin A_1c PACU = postanesthesia care unit POC-BG = pointof-care blood glucose POME = preoperative medical evaluation     

Effectiveness of Inpatient Insulin Order Sets Using Human Insulins in Noncritically Ill Patients in A Rural Hospital

Objective: Recent guidelines recommend a physiologic approach to non–intensive care unit (ICU) inpatient glucose management utilizing basal-bolus with correctional (BBC) insulin over traditional sliding-scale insulin monotherapy. Unfortunately, few studies exist using a BBC approach restricted to human insulins (regular and neutral protamine Hagedorn [NPH]). This study evaluated changes in provider prescribing patterns, effects on blood glucose, and safety with implementation of hospital order sets for BBC using human insulins.Methods: Order sets were developed for non-ICU inpatients, consisting of basal, prandial, and correctional insulin using NPH and regular human insulins. Evaluation compared a 4-month period before (admissions, n = 274) with a 4-month period after order set availability (n = 302). Primary outcome was change in insulin prescribing patterns. Secondary outcomes included use of nonpreferred diabetes treatments, hemoglobin A_1c testing, mean daily blood glucose, and incidence of hypoglycemia.Results: Use of BBC insulin regimen increased from 10.6 to 27.5% after order set implementation (P<.001). Use of oral antihyperglycemic agents decreased from 24.1 to 14.9% after implementation (P = .006). Hemoglobin A_1c testing rose from 50.0 to 62.3% after (P = .003). Mean daily blood glucose improved, with an estimated mean difference of 14.4 mg/dL (95% confidence interval, 2.2 to 26.5 mg/dL) over hospital days 3 through 9 (P = .02). There was no significant change in the incidence of moderate or severe hypoglycemia.Conclusion: Implementation of hospital-wide human insulin order sets led to improvements in prescribing practices and blood glucose control, without increasing the incidence of hypoglycemia. These order sets may be useful for facilities limited by formulary and cost considerations to the use of older human insulins.Abbreviations: BBC = basal-bolus with correctional insulin ICU = intensive care unit NPH = neutral protamine Hagedorn NPO = nil per os     

Proactive Protocol-Based Management of Hyperglycemia and Diabetes in Colorectal Surgery Patients

Objective: The management of diabetic patients undergoing elective abdominal surgery continues to be unsystematic, despite evidence that standardized perioperative glycemic control is associated with fewer postoperative surgical complications. We examined the efficacy of a pre-operative diabetes optimization protocol implemented at a single institution in improving perioperative glycemic control with a target blood glucose of 80 to 180 mg/dL.Methods: Patients with established and newly diagnosed diabetes who underwent elective colorectal surgery were included. The control group comprised 103 patients from January 1, 2011, through December 31, 2013, before protocol implementation. The glycemic-optimized group included 96 patients following protocol implementation from January 1, 2014, through July 31, 2016. Data included demographic information, blood glucose levels, insulin doses, hypoglycemic events, and clinical outcomes (length of stay, re-admissions, complications, and mortality).Results: Patients enrolled in the glycemic optimization protocol had significantly lower glucose levels intra-operatively (145.0 mg/dL vs. 158.1 mg/dL; P = .03) and postoperatively (135.6 mg/dL vs. 145.2 mg/dL; P = .005). A higher proportion of patients enrolled in the protocol received insulin than patients in the control group (0.63 vs. 0.48; P = .01), but the insulin was administered less frequently (median [interquartile range] number of times, 6.0 [2.0 to 11.0] vs. 7.0 [5.0 to 11.0]; P = .04). Two episodes of symptomatic hypoglycemia occurred in the control group. There was no difference in clinical outcomes.Conclusion: Improved peri-operative glycemic control was observed following implementation of a standardized institutional protocol for managing diabetic patients undergoing elective colorectal surgery.Abbreviations: HbA1c = glycated hemoglobin A1c; IQR = interquartile range     

Safety and Efficacy of a Peri-Operative Protocol for Patients with Diabetes Treated with Continuous Subcutaneous Insulin Infusion who are Admitted for Same-Day Surgery

Objective: The number of people with diabetes using continuous subcutaneous insulin infusions (CSII) with an insulin pump has risen dramatically, creating new challenges when these patients are admitted to the hospital for surgical or other procedures. There is limited literature guiding CSII use during surgical procedures.Methods: The study was carried out in a large, urban, tertiary care hospital. We enrolled 49 patients using insulin pump therapy presenting for 57 elective surgeries. We developed a CSII peri-operative glycemic management protocol (PGMP) to standardize insulin pump management in patients admitted to a same-day surgery unit (SDSU). The purpose was evaluate the safety (% capillary blood glucose (CBG) <70 mg/dL and/or pump incidents) and efficacy (first postoperative CBG ≤200 mg/dL) of the CSII PGMP. We determine the contribution of admission CBG, type of anesthesia, surgery length, and peri-operative steroid use on postoperative glycemic control.Results: Overall, 63% of patients treated according to the CSII PGMP had a first postoperative CBG ≤200 mg/dL. There were no episodes of intra- or postoperative hypoglycemia. For patients treated with the CSII PGMP, the mean postoperative CBG was lower in patients with anticipated or actual surgical length ≤120 minutes (158.1 ± 53.9 vs. 216 ± 77.7 mg/dL, P<.01). No differences were observed with admission CBG, type of anesthesia, or steroid use.Conclusions: This study demonstrates that a CSII PGMP is both safe and effective for patients admitted for elective surgical procedures and provides an example of a standardized protocol for use in clinical practice.Abbreviations: A1C = glycated hemoglobin BG = blood glucose CBG = capillary blood glucose CSII = continuous subcutaneous insulin infusion DM = diabetes mellitus EMR = electronic medical record IV = intravenous PGMP = peri-operative glycemic management protocol SDS = same-day surgery SDSU = same-day surgery unit SQ = subcutaneous UC = usual care